{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "# import xlrd\n",
    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n",
    "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n",
    "from matplotlib.pyplot import MultipleLocator\n",
    "\n",
    "import pandas as pd\n",
    "import os \n",
    "\n",
    "import seaborn as sns\n",
    "# plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [],
   "source": [
    "PERF_RESULT = os.getenv('PERF_RESULT', './perf_result/result.csv')\n",
    "data = pd.read_csv(PERF_RESULT, sep=',').sort_values(by='model')\n",
    "data['p90 latency(ms)'] = data['p90 latency'].apply(lambda x: x/1000)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>batch_size</th>\n",
       "      <th>Concurrency</th>\n",
       "      <th>Inferences/Second</th>\n",
       "      <th>Client Send</th>\n",
       "      <th>Network+Server Send/Recv</th>\n",
       "      <th>Server Queue</th>\n",
       "      <th>Server Compute Input</th>\n",
       "      <th>Server Compute Infer</th>\n",
       "      <th>Server Compute Output</th>\n",
       "      <th>Client Recv</th>\n",
       "      <th>p50 latency</th>\n",
       "      <th>p90 latency</th>\n",
       "      <th>p95 latency</th>\n",
       "      <th>p99 latency</th>\n",
       "      <th>p90 latency(ms)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>simple_yolov5_bls</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>18.4</td>\n",
       "      <td>17191</td>\n",
       "      <td>3773735</td>\n",
       "      <td>47427</td>\n",
       "      <td>1632</td>\n",
       "      <td>18529</td>\n",
       "      <td>279</td>\n",
       "      <td>6</td>\n",
       "      <td>3946549</td>\n",
       "      <td>4379851</td>\n",
       "      <td>4393542</td>\n",
       "      <td>4627539</td>\n",
       "      <td>4379.851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>simple_yolov5_bls</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>20.8</td>\n",
       "      <td>9429</td>\n",
       "      <td>3053742</td>\n",
       "      <td>29319</td>\n",
       "      <td>1822</td>\n",
       "      <td>18852</td>\n",
       "      <td>197</td>\n",
       "      <td>4</td>\n",
       "      <td>3105001</td>\n",
       "      <td>3295851</td>\n",
       "      <td>3408163</td>\n",
       "      <td>3409707</td>\n",
       "      <td>3295.851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>simple_yolov5_bls</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9847</td>\n",
       "      <td>2645427</td>\n",
       "      <td>34463</td>\n",
       "      <td>1621</td>\n",
       "      <td>18132</td>\n",
       "      <td>253</td>\n",
       "      <td>3</td>\n",
       "      <td>2792957</td>\n",
       "      <td>3069375</td>\n",
       "      <td>3091151</td>\n",
       "      <td>3103712</td>\n",
       "      <td>3069.375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>simple_yolov5_bls</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>20.8</td>\n",
       "      <td>9913</td>\n",
       "      <td>2325201</td>\n",
       "      <td>36690</td>\n",
       "      <td>1817</td>\n",
       "      <td>18752</td>\n",
       "      <td>209</td>\n",
       "      <td>3</td>\n",
       "      <td>2535203</td>\n",
       "      <td>2718031</td>\n",
       "      <td>2822015</td>\n",
       "      <td>2829911</td>\n",
       "      <td>2718.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>simple_yolov5_bls</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9080</td>\n",
       "      <td>1906237</td>\n",
       "      <td>31880</td>\n",
       "      <td>1693</td>\n",
       "      <td>19254</td>\n",
       "      <td>274</td>\n",
       "      <td>4</td>\n",
       "      <td>2172222</td>\n",
       "      <td>2375632</td>\n",
       "      <td>2420122</td>\n",
       "      <td>2478506</td>\n",
       "      <td>2375.632</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                model  batch_size  Concurrency  Inferences/Second  \\\n",
       "29  simple_yolov5_bls           8           10               18.4   \n",
       "27  simple_yolov5_bls           8            8               20.8   \n",
       "26  simple_yolov5_bls           8            7               20.0   \n",
       "25  simple_yolov5_bls           8            6               20.8   \n",
       "24  simple_yolov5_bls           8            5               20.0   \n",
       "\n",
       "    Client Send  Network+Server Send/Recv  Server Queue  Server Compute Input  \\\n",
       "29        17191                   3773735         47427                  1632   \n",
       "27         9429                   3053742         29319                  1822   \n",
       "26         9847                   2645427         34463                  1621   \n",
       "25         9913                   2325201         36690                  1817   \n",
       "24         9080                   1906237         31880                  1693   \n",
       "\n",
       "    Server Compute Infer  Server Compute Output  Client Recv  p50 latency  \\\n",
       "29                 18529                    279            6      3946549   \n",
       "27                 18852                    197            4      3105001   \n",
       "26                 18132                    253            3      2792957   \n",
       "25                 18752                    209            3      2535203   \n",
       "24                 19254                    274            4      2172222   \n",
       "\n",
       "    p90 latency  p95 latency  p99 latency  p90 latency(ms)  \n",
       "29      4379851      4393542      4627539         4379.851  \n",
       "27      3295851      3408163      3409707         3295.851  \n",
       "26      3069375      3091151      3103712         3069.375  \n",
       "25      2718031      2822015      2829911         2718.031  \n",
       "24      2375632      2420122      2478506         2375.632  "
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'thoughput vs latency at batch size 8')"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# models = data.model.unique()\n",
    "\n",
    "from matplotlib.pyplot import title\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(9,6))\n",
    "\n",
    "sns.lineplot(x='p90 latency(ms)', y='Inferences/Second', hue=\"model\", data=data ,ax=ax).set_title('thoughput vs latency at batch size 8')\n",
    "\n",
    "\n",
    "# for index, model_name in enumerate(models):\n",
    "#     random_color = colors[index]\n",
    "\n",
    "#     ax.plot(data[data.model==model_name]['p90 latency'], data[data.model==model_name]['Inferences/Second'], \\\n",
    "#             linewidth=1, color=random_color, alpha=0.8, label=f'{model_name}')\n",
    "#     # ax.set_ylabel(\"T(ms)-interval\")\n",
    "#     ax.legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## metrics process"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar_data = data.copy()\n",
    "indices_cols = ['p90 latency(ms)', 'Inferences/Second', 'Server Queue', 'Server Compute Input', 'Server Compute Infer', 'Server Compute Output']\n",
    "cols = ['model', 'Concurrency'] + indices_cols\n",
    "radar_data = radar_data[cols]\n",
    "\n",
    "# sensitive to Concurrency\n",
    "radar_data['Server Queue'] = radar_data['Server Queue'] / radar_data['Concurrency']\n",
    "radar_data['p90 latency(ms)'] = radar_data['p90 latency(ms)'] / radar_data['Concurrency']\n",
    "\n",
    "# reverse timestamp value to speed and min-max normalization \n",
    "for col in indices_cols:\n",
    "        \n",
    "    if col != 'Inferences/Second':\n",
    "        radar_data[col] = 1 / radar_data[col]\n",
    "    radar_data[col] = (radar_data[col] - radar_data[col].min()) / (radar_data[col].max() - radar_data[col].min())\n",
    "\n",
    "\n",
    "plot_data = radar_data.groupby('model', as_index=False)[indices_cols].quantile(0.9)\n",
    "plot_data = plot_data.rename(columns={\n",
    "                                      'p90 latency(ms)': 'latency',\n",
    "                                      'Inferences/Second': 'throughput'\n",
    "                                      }\n",
    "                            )\n",
    "plot_cols = ['latency', 'throughput', 'Server Queue', 'Server Compute Input', 'Server Compute Infer', 'Server Compute Output']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "models = plot_data.model.unique()\n",
    "plt.figure(figsize =(7, 7))\n",
    "plt.subplot(polar = True) \n",
    "plot_cols.append(plot_cols[0])\n",
    "theta = np.linspace(0, 2 * np.pi, len(plot_cols)) \n",
    "# thetas = np.concatenate((theta, [theta[0]]))\n",
    "# print(thetas*180/np.pi)\n",
    "# print(thetas)\n",
    "\n",
    "# print(plot_cols)\n",
    "lines, labels = plt.thetagrids(theta*180/np.pi,  plot_cols)\n",
    "# print(lines)\n",
    "for model in models:\n",
    "    perf_data = plot_data[plot_data.model==model][plot_cols].values[0].tolist()\n",
    "    # perf_data.append(perf_data[0])\n",
    "    plt.plot(theta, perf_data)\n",
    "    plt.fill(theta, perf_data, alpha = 0.1) \n",
    "# bbox_to_anchor=(1, 0.2, 0.2, 0.8)\n",
    "# plt.legend(labels = models,bbox_to_anchor=(1, 0.2, 0.2, 0.8), fontsize=12) \n",
    "plt.legend(labels = models, loc = 'lower center', bbox_to_anchor=(0.5, -0.1), ncol=3,  fontsize=10) \n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.3 ('torch')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "fc652cb84be8d001ab0a13ed925dd8ccdab57ef3b913d2800ec518dc7972165d"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
